bungay2003_Fig4

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Model Manuscripts

A mathematical model of lipid-mediated thrombin generation.

  • Sharene D Bungay
  • Patricia A Gentry
  • Rodney D Gentry
Math Med Biol 2003; 20 (1): 105-129
Abstract
Thrombin is an enzyme that is generated in both vascular and non-vascular systems. In blood coagulation, a fundamental process in all species, thrombin induces the formation of a fibrin clot. A dynamical model of thrombin generation in the presence of lipid surfaces is presented. This model also includes the self-regulating thrombin feedback reactions, the thrombomodulin-protein C-protein S inhibitory system, tissue factor pathway inhibitor (TFPI), and the inhibitor, antithrombin (AT). The dynamics of this complex system were found to be highly lipid dependent, as would be expected from experimental studies. Simulations of this model indicate that a threshold lipid level is required to generate physiologically relevant amounts of thrombin. The dependence of the onset, the peak levels, and the duration of thrombin generation on lipid was saturable. The lipid concentration affects the way in which the inhibitors modulate thrombin production. A novel feature of this model is the inclusion of the dynamical protein C pathway, initiated by thrombin feedback. This inhibitory system exerts its effects on the lipid surface, where its substrates are formed. The maximum impact of TFPI occurs at intermediate vesicle concentrations. Inhibition by AT is only indirectly affected by the lipid since AT irreversibly binds only to solution phase proteins. In a system with normal plasma concentrations of the proteins involved in thrombin formation, the combination of these three inhibitors is sufficient both to effectively stop thrombin generation prior to the exhaustion of its precursor, prothrombin, and to inhibit all thrombin formed. This model can be used to predict thrombin generation under extreme lipid conditions that are difficult to implement experimentally and to examine thrombin generation in non-vascular systems.
Id Name JWS model
model3_bungay3 bungay3 bungay3
model4_bungay3 bungay3 bungay3
model5_bungay3 bungay3 bungay3
model0_bungay3 bungay3 bungay3
model6_bungay3 bungay3 bungay3
model1_bungay3 bungay3 bungay3
model2_bungay3 bungay3 bungay3
Id Name Source Number of Data Sources
Id Name Model Simulation Simulation Simulation
task0_model0_bungay3 bungay3 0.0 500.0 1000
task2_model2_bungay3 bungay3 0.0 500.0 1000
task4_model4_bungay3 bungay3 0.0 500.0 1000
task6_model6_bungay3 task6_model6_bungay3 bungay3 750.0 1200.0 1000
task1_model1_bungay3 bungay3 0.0 500.0 1000
task3_model3_bungay3 bungay3 0.0 500.0 1000
task5_model5_bungay3 bungay3 0.0 500.0 1000

2D Plots

Id Name Number of Curves
Figure_4 Figure 4 6
Figure_4_30nM Figure 4 30 nM 1

CSV Reports

Id Name Number of Columns